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Data Science

Data Science

رفتن به کانال در Telegram

Learn how to analyze data effectively and manage databases with ease. Buy ads: https://telega.io/c/sql_databases

نمایش بیشتر

📈 تحلیل کانال تلگرام Data Science

کانال Data Science (@sql_databases) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 70 790 مشترک است و جایگاه 2 261 را در دسته آموزش و رتبه 4 562 را در منطقه الهند دارد.

📊 شاخص‌های مخاطب و پویایی

از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 70 790 مشترک جذب کرده است.

بر اساس آخرین داده‌ها در تاریخ 26 اوت, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر -310 و در ۲۴ ساعت گذشته برابر -15 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.

  • وضعیت تأیید: تأیید نشده
  • نرخ تعامل (ER): میانگین تعامل مخاطب 11.21% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 2.74% واکنش نسبت به کل مشترکان کسب می‌کند.
  • دسترسی پست‌ها: هر پست به طور میانگین 7 934 بازدید دریافت می‌کند. در اولین روز معمولاً 1 943 بازدید جمع‌آوری می‌شود.
  • واکنش‌ها و تعامل: مخاطبان به‌طور فعال حمایت می‌کنند؛ میانگین واکنش به هر پست 0 است.
  • علایق موضوعی: محتوا بر موضوعات کلیدی مانند database, learning, linkedin, udemy, 029k| تمرکز دارد.

📝 توضیح و سیاست محتوایی

نویسنده این فضا را محل بیان دیدگاه‌های شخصی توصیف می‌کند:
Learn how to analyze data effectively and manage databases with ease. Buy ads: https://telega.io/c/sql_databases

به لطف به‌روزرسانی‌های پرتکرار (آخرین داده در تاریخ 27 اوت, 2026)، کانال همواره به‌روز و دارای دسترسی بالاست. تحلیل‌ها نشان می‌دهد مخاطبان به‌طور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته آموزش تبدیل کرده‌اند.

70 790
مشترکین
-1524 ساعت
-1277 روز
-31030 روز
آرشیو پست ها
📂 Full description Data analysis isnt just for specialists who need to make sense of massive datasets. Decision-makers in every industry can benefit from a basic understanding of the goals and concepts of applied data analysis. In this course, Barton Poulson focuses on the fundamentals of data fluency, or the ability to work with data to extract insights and determine your next steps. Barton shows how exploring data with graphs and describing data with statistics can help you reach your goals and make better decisions. Instead of focusing on particular tools, he concentrates on general procedures that can help you solve specific problems. Barton covers how to prepare and adapt data, explore it visually, and use statistical methods to describe it. He goes in depth on probability and interference and also touches on data ethics and explainable AI.

🔅 Data Literacy: Exploring and Describing Data 🌐 Author: Barton Poulson 🔰 Level: Beginner ⏰ Duration: 5h 14m 🌀 Learn the
🔅 Data Literacy: Exploring and Describing Data 🌐 Author: Barton Poulson 🔰 Level: BeginnerDuration: 5h 14m
🌀 Learn the fundamentals of data fluency and how data can help you make better decisions.
📗 Topics: Data Science 📤 Join Data Analysis for more courses

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📖 Think you know SQL? Let’s test your skills
+5
📖 Think you know SQL? Let’s test your skills

📁 Data science Lifecycle
📁 Data science Lifecycle

📖 Keys in SQL
+7
📖 Keys in SQL

🔅 PREMIUM CHANNELS -◦-◦--◦--◦-◦--◦--◦-◦--◦--◦-◦--◦- 🔰 Web Development -◦-◦--◦--◦-◦--◦--◦-◦-- 220k| 🔰 Linkedin Learning 137k| 🔰 Udemy Premium 133k| 🔰 Web Development -◦-◦--◦- 116k| 🔰 Python 3 099k| 🔰 JavaScript Training 087k| 🔰 Machine Learning -◦-◦--◦- 067k| 🔰 Artificial Intelligence 066k| 🔰 Data Analysis and Databases 063k| 🔰 React and NextJs -◦-◦--◦- 059k| 🔰 Linux and DevOps 048k| 🔰 100 Days of Python 046k| 🔰 OpenAI Mastery -◦-◦--◦- 045k| 🔰 Business and Finance 044k| 🔰 Best Telegram Channels 039k| 🔰 Zero to Mastery -◦-◦--◦- 039k| 🔰 Mobile Apps 039k| 🔰 Udemy Learning 035k| 🔰 Linkedin Learning Courses -◦-◦--◦- 034k| 🔰 Codedamn Courses 033k| 🔰 React 101 031k| 🔰 Crypto Tutorials -◦-◦--◦- 030k| 🔰 Coding Interview 025k| 🔰 Telegram's Shorts 021k| 🔰 Linux Training -◦-◦--◦- 020k| 🔰 The Coding Space -◦-◦--◦--◦-◦--◦--◦-◦-- 🔰 Add Your Channel -◦-◦--◦--◦-◦--◦--◦-◦--◦--◦-◦--◦- 🔰 2hrs on top & 8hrs in channel!

📖 Top 4 Types of SQL Joins
📖 Top 4 Types of SQL Joins

📦 Exercise Files

📱Data Analysis 📱Learning Data Analytics: 1 Foundations

📂 Full description Are you interested in pursuing a career in data analytics? In this course, instructor Robin Hunt brings you into the mind of an analyst. She defines and explains foundational concepts, such as how to think about data, how to work with others in different roles to get the data you need, and the tools you need to work with data, such as Excel and Microsoft Access. She introduces you to SQL queries, PowerBI, and more. Robin goes into syntax and explains how to interpret the data you see, find the data you need, and clean the data for effective data work. She explains data governance and how to ask the right questions of different departments to gather the data you need. Robin shows how to work with data, including how to import data, work with flat files such as CSVs, and create datasets for others. Robin goes into what cleaning and modeling mean, as well as how to use Power Query in Excel. She has also added challenge/solution sets in each chapter to help you evaluate your skills. This course is part of a Professional Certificate from Microsoft.

🔅 Learning Data Analytics: 1 Foundations 🌐 Author: Robin Hunt 🔰 Level: Beginner ⏰ Duration: 3h 29m 🌀 This course covers f
🔅 Learning Data Analytics: 1 Foundations 🌐 Author: Robin Hunt 🔰 Level: BeginnerDuration: 3h 29m
🌀 This course covers foundational data analysis skills such as thinking like an analyst, gathering useful data, SQL queries, data cleaning, and more. Are you ready to be an analyst?
📗 Topics: Data Analytics 📤 Join Data Analysis for more courses

📖 SQL Mindmap
📖 SQL Mindmap

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📖 Introduction to SQL
+5
📖 Introduction to SQL

📖 Introduction to SQL
+6
📖 Introduction to SQL

📖 Introduction to SQL
+5
📖 Introduction to SQL

📖 Types of SQL commands
+1
📖 Types of SQL commands

📦 Exercise Files